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Introduction
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Time Varying Active Appearance
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Conclusion
Index
Variable length Markov model results
Subsections
Introduction
Comparison of the probability estimation
Comparison of learnings using the Matusita distance
Comparison of learnings using the Kullback-Leibler divergence
Comparison of the probability estimation
Quantitative assessments of the prediction
Assessment of the prediction with a large number of data
Assessment of the prediction with a small number of data
Number of guesses required to find the good solutions
Conclusion
franck 2006-10-16
